Principal Security Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Security Engineer based in the United States.

This role sits at the core of a rapidly scaling cloud and AI-driven platform, where security is a foundational enabler of innovation rather than a constraint. You will lead the design and implementation of platform-wide security capabilities that embed secure-by-default principles across cloud infrastructure, CI/CD pipelines, and distributed systems. The work spans architecture, automation, and engineering enablement, ensuring security is seamlessly integrated into every stage of software delivery. You will collaborate closely with engineering, product, and infrastructure teams to define scalable security patterns and reduce systemic risk. This is a high-impact technical leadership role where decisions directly influence platform resilience, developer velocity, and customer trust. It is ideal for a senior security engineer who thrives in complex, fast-moving cloud environments and enjoys shaping security strategy at scale.

Accountabilities:

In this role, you will own the design and execution of platform security capabilities that strengthen cloud and software delivery environments while enabling engineering velocity.

• Lead the design and implementation of secure-by-default capabilities across authentication, identity and access management, encryption, secrets management, and security automation services.
• Define and drive adoption of zero-trust principles, least-privilege access models, and enterprise-wide security architecture standards.
• Serve as technical lead for platform security initiatives, guiding cross-functional teams and influencing architectural direction across engineering groups.
• Embed security controls into CI/CD pipelines, cloud-native systems, and software supply chain workflows to reduce operational and infrastructure risk.
• Lead threat modeling, vulnerability management, and cloud security engineering efforts across distributed systems and multi-cloud environments.
• Drive cross-organizational security programs with measurable outcomes, including remediation initiatives and long-term risk reduction strategies.
• Evaluate and implement AI-enabled security capabilities to improve detection, triage, and response efficiency across the platform.
• Mentor engineers and elevate security engineering maturity across multiple teams through guidance, standards, and reusable patterns.

Requirements

This role requires deep technical expertise in cloud security, strong engineering fundamentals, and the ability to influence at scale across multiple teams.

• 12+ years of experience in software engineering or security engineering, including 5+ years focused on cloud or platform security.
• Strong programming skills in Java, Go, Python, or similar languages used for automation and security engineering.
• Deep expertise in cloud security across AWS, Azure, GCP, or OCI environments.
• Hands-on experience with Kubernetes security, container security, service mesh, Infrastructure as Code, and CI/CD security integration.
• Strong understanding of identity and access management, network security, vulnerability management, and software supply chain security.
• Proven experience designing and scaling security controls in distributed, cloud-native systems.
• Strong communication skills with the ability to influence technical and non-technical stakeholders.
• Experience leading complex, cross-functional security initiatives in high-scale environments.

Benefits

• Competitive compensation package with bonus eligibility
• Comprehensive health, dental, and vision insurance options
• Paid time off and parental leave programs
• Retirement savings plans (including 401(k) with potential match)
• Flexible work arrangements and remote-first culture
• Professional development opportunities and learning support
• Inclusive and diverse work environment with employee resource groups
• Opportunities to work on large-scale, AI-driven cloud security challenges.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.